Journal ArticleDOI
Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques
TLDR
An overview of the newly developed automated image-based reconstruction approach and exclusive features which distinct it from other image- based or conventional photogrammetric techniques is presented and the terrestrial laser scanning approach carried out for reconstruction and comparison of as-built scenes is presented.About:
This article is published in Automation in Construction.The article was published on 2011-12-01. It has received 333 citations till now. The article focuses on the topics: Point cloud & Visualization.read more
Citations
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Book ChapterDOI
Digital modelling layer: two digital modelling methodsPART 1: SCAN-TO-BIM APPROACHES: REVIEW IN A HOLISTIC WORKFLOWPART 2: REVIEW OF GEOMETRIC DIGITAL TWINNING APPROACHES BASED ON PHOTOGRAMMETRY
Journal ArticleDOI
Integrating Inverse Photogrammetry and a Deep Learning–Based Point Cloud Segmentation Approach for Automated Generation of BIM Models
TL;DR: Wang et al. as mentioned in this paper proposed a fused system to automatically develop as-built BIMs from photogrammetric point clouds, where a series of images is captured to generate a high-quality point cloud, which is then preprocessed by removing noise and downsizing points.
Journal ArticleDOI
Modeling of 3D geometry uncertainty in Scan-to-BIM automatic indoor reconstruction
TL;DR: In this paper , the geometry uncertainty in 3D point cloud point clouds is estimated based on a strict application of geodetic stochastic modeling and statistical uncertainty is incorporated into the building reconstruction process and procedures that enable self-verification within this process.
Peer Review
Construction Progress Monitoring and Reporting using Computer Vision Techniques – A Review
TL;DR: It can be concluded that computer vision is a promising path for improving the performance of automated progress monitoring systems in construction.
Dissertation
Assessing the Technology Used by UAVs in Data Acquisition on Construction Sites
TL;DR: Assessing the Technology Used by UAVs in Collecting Data and Their Limitations on Construction Sites and theirLimitations on construction sites finds that most of the technologies used in this study are applicable to construction sites.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Journal ArticleDOI
A Comparison of Affine Region Detectors
Krystian Mikolajczyk,Tinne Tuytelaars,Cordelia Schmid,Andrew Zisserman,Jiri Matas,Frederik Schaffalitzky,Timor Kadir,L. Van Gool +7 more
TL;DR: A snapshot of the state of the art in affine covariant region detectors, and compares their performance on a set of test images under varying imaging conditions to establish a reference test set of images and performance software so that future detectors can be evaluated in the same framework.
Journal ArticleDOI
An optimal algorithm for approximate nearest neighbor searching fixed dimensions
TL;DR: In this paper, it was shown that given an integer k ≥ 1, (1 + ϵ)-approximation to the k nearest neighbors of q can be computed in additional O(kd log n) time.
Journal ArticleDOI
Modeling the World from Internet Photo Collections
TL;DR: This paper presents structure-from-motion and image-based rendering algorithms that operate on hundreds of images downloaded as a result of keyword-based image search queries like “Notre Dame” or “Trevi Fountain,” and presents these algorithms and results as a first step towards 3D modeled sites, cities, and landscapes from Internet imagery.